Targeted ML optimizations are also used extensively to improve model accuracy and efficiency trade-offs. These targeted optimizations include automated approaches such as model pruning and quantization [1]}, [2]}, [3]}, [4]}, [5]}, [6]}, [7]}, [8]}, [9]} as well as manual optimizations on specific platforms especially mobile devices [10]}, [11]}.
